UC Davis is observation 345 in the data set. Using the regression results above, what is what is the size of the residual for UC Davis graduates? If you named your OLS regression ols1, you can get the residuals with the following commands: residuals = residualstolsl) residuals This will open up a window where you can see the residual (3,; = Y, 57,) for each observation. Go to observation 345 and that is the UC Davis residual. Based on the residual for UC Davis, do UC Davis graduates do better or worse than what is expected from the regression results? How much better or worse in dollars at age 34? Is this result a good thing or a bad thing to you as a future UC Davis graduate? Show your work and explain. Is there evidence of model nusspecication with this model? Compute and interpret Ramsey's RESET, the IE Normality Test, and the BP Test for heteroskedastictity. In addition, report a histogram of the residuals to see if they look normally distributed. What do your results say about the conclusions you made in Parts A through E above